EP2021890A1 - Verfahren zur überwachung der beanspruchung von rotorblättern von windkraftanlagen - Google Patents
Verfahren zur überwachung der beanspruchung von rotorblättern von windkraftanlagenInfo
- Publication number
- EP2021890A1 EP2021890A1 EP07722429A EP07722429A EP2021890A1 EP 2021890 A1 EP2021890 A1 EP 2021890A1 EP 07722429 A EP07722429 A EP 07722429A EP 07722429 A EP07722429 A EP 07722429A EP 2021890 A1 EP2021890 A1 EP 2021890A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- load
- monitoring
- frequency
- rotor blades
- determined
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 32
- 238000012544 monitoring process Methods 0.000 title claims abstract description 18
- 238000009434 installation Methods 0.000 title abstract 4
- 230000001133 acceleration Effects 0.000 claims abstract description 33
- 238000005259 measurement Methods 0.000 claims abstract description 23
- 238000011156 evaluation Methods 0.000 claims abstract description 18
- 238000009826 distribution Methods 0.000 claims description 10
- 230000006378 damage Effects 0.000 abstract description 18
- 238000001228 spectrum Methods 0.000 abstract description 7
- 238000013461 design Methods 0.000 abstract description 3
- 230000010355 oscillation Effects 0.000 abstract description 3
- 230000009466 transformation Effects 0.000 abstract description 3
- 230000001105 regulatory effect Effects 0.000 abstract 1
- 238000007781 pre-processing Methods 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 5
- 238000001514 detection method Methods 0.000 description 3
- 230000005284 excitation Effects 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 230000035508 accumulation Effects 0.000 description 2
- 238000005452 bending Methods 0.000 description 2
- 230000001419 dependent effect Effects 0.000 description 2
- 230000003449 preventive effect Effects 0.000 description 2
- 230000008439 repair process Effects 0.000 description 2
- 230000036962 time dependent Effects 0.000 description 2
- 238000012937 correction Methods 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 239000011152 fibreglass Substances 0.000 description 1
- 239000003365 glass fiber Substances 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 230000035939 shock Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
- 238000012800 visualization Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M5/00—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
- G01M5/0066—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by exciting or detecting vibration or acceleration
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/022—Adjusting aerodynamic properties of the blades
- F03D7/0224—Adjusting blade pitch
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
- F03D7/02—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor
- F03D7/0264—Controlling wind motors the wind motors having rotation axis substantially parallel to the air flow entering the rotor for stopping; controlling in emergency situations
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M5/00—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
- G01M5/0033—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by determining damage, crack or wear
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/331—Mechanical loads
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/30—Control parameters, e.g. input parameters
- F05B2270/334—Vibration measurements
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2270/00—Control
- F05B2270/80—Devices generating input signals, e.g. transducers, sensors, cameras or strain gauges
- F05B2270/807—Accelerometers
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Definitions
- the invention relates to a method for monitoring the stress of rotor blades of wind turbines by means of acceleration measurements on at least one rotor blade during operation of the wind turbine and the determination of evaluation variables for assessing the load of the rotor blade from the recorded acceleration signals.
- Rotor blades are among the most heavily loaded components of a wind turbine. They are to withstand the enormous centrifugal forces, wind currents and gusts, turbulences, solar radiation, different temperatures and ice accumulation over several years in continuous operation, to enable economical operation of the wind turbine.
- Rotor blades therefore also belong to the components with the highest failure rates. Repairs and the replacement of rotor blades, which is currently the most common, are very costly and cause high yield shortages. For this reason, the early detection of damage in the various components of the rotor blade, in particular in the aerodynamic shell of the rotor blade and its supporting components inside the rotor blade is required.
- Displaying the damage event is an important piece of information for damage prevention and preventive maintenance.
- the goal is to identify and correct the possible causes of damage events.
- dynamic overloads are to be counted, which are caused by strong wind changes or turbulence and strong winds and cause the rotor blades claimed beyond the designed load level and thus can be damaged.
- the dynamic loads are alternating loads with high rates of change, which is therefore a major cause of Rotor blade damage are.
- Dynamic overloads can also occur if the rotor blades are aerodynamically not equal or coordinated with each other, eg. B. that the pitch control for a sheet is not suitable.
- Determining the dynamic overloads is therefore important in order to detect and correct existing control errors or to optimize the pitch control from the findings on the dynamic overloads.
- the basic classification of stall-controlled wind turbines can be checked and adjusted.
- strains are measured at specific locations in the rotor blades with strain gauges and the same effect fiberglass systems to detect and assess load conditions for each an entire rotor blade.
- the measured load conditions are not interchangeable loads, but only quasi-static loads with low rates of change.
- strain gauges have problems in continuous operation and are difficult to replace with constant positioning. Measurements of strains with glass fibers, however, are expensive and irreparable in their destruction due to excessive strains.
- acceleration sensors as described, for example, in the patent EP 1 075 600.
- acceleration value is basically already a load-related statement and in addition acceleration sensors are relatively inexpensive and durable and easily interchangeable damage.
- the invention has for its object to provide a method by which dynamic, even uncritical load conditions detected differentiated and can be put together for evaluation in a suitable form to possibly before the occurrence of damage to the rotor blade influence on the operation of the wind turbine, in particular the design the Pich control or angle adjustment of stall-controlled rotor blades both on all rotor blades together and on a single rotor blade, take.
- the method according to the invention makes it possible to determine absolute, marginal statements as well as the frequency of the dynamic load conditions occurring on the rotor blade, with the focus being on the detection of less frequent but for critical dynamic load conditions. Through the ongoing registration and evaluation of short-term events are borderline accumulations of such states recorded.
- the findings can be obtained individually for each rotor blade, from which conclusions can be drawn on possibly incorrect adjustments of the pitch angle or the basic settings for individual rotor blades.
- the method also allows statements about all rotor blades of a wind turbine, e.g. by comparing the loads occurring at the individual rotor blades with regard to the agreement of the pitch angle or basic setting of all rotor blades.
- the analysis of the comparison may e.g. be used to evaluate the functionality of the pitch control.
- the dynamic overloads can be taken directly from the acceleration amplitudes of the natural frequencies of higher modes and also directly from the acceleration-time signal.
- a so-called shock which indicates an overload, arises in the acceleration time signal z.
- B. as an ensemble of needle pulses and can be included on the removable characteristic values in the evaluation.
- the frequency distribution of the load conditions recorded with this method shows a particularly high frequency for the load values normally associated with the operation by which the wind turbine driving wind for the constructive design took place. Other peaks in the frequent Distributed to other load values, which occur again and again. Which of these lead to a limit load at what frequency, which require an influence on the operation of the wind turbine, the change of control, in particular the pitch control or maintenance, is from reference considerations, from simulations and / or the connection of the monitoring method according to the invention with such methods possible in which it is concluded from the changes in the vibration behavior on changes in the properties of the rotor blade and on the type of damage occurred and its location, as described for example in DE 100 65 314 Al.
- the load value can be determined for example from the amplitude of one or more defined natural frequencies of the rotor blade, for. B. the first beat and swing frequency.
- a frequency-amplitude spectrum is determined from a time-dependent signal received by means of an acceleration sensor by means of fast Fourier transformation.
- the generation and the measurement of the signal as well as its evaluation for determining the frequency-amplitude spectrum can be carried out, for example, by the method described in DE 100 65 314 A1 and the corresponding device, the contents of which are expressly referred to here.
- the acceleration amplitude values or correspondingly formed acceleration amplitude classes that are used to determine the load can also be used directly for the monitoring of rotor blades according to the invention. Due to the direct relationship between the load occurring and the measured acceleration amplitude of the selected natural frequency, the definition of one or more limit values of the frequency of occurrence of an amplitude or amplitude class as a limit load is also possible.
- the distributions are then also used to determine if the pitch control as a whole and also on the cut sheet is working properly.
- the distributions taken over longer periods also represent the load history for the rotor blade and can be used for the determination of causes of damage.
- 1 is a schematic overall view of a wind turbine
- 2 shows the schematic representation of a rotor blade
- Fig. 4 shows the frequency distribution of the relative load of three rotor blades of a wind turbine, divided into four load classes.
- Fig. 1 the overall view of a wind turbine with three rotor blades 1 is shown, which are fixed to a hub 2.
- the hub 2 in turn merges into a horizontally mounted shaft.
- the shaft ends in a nacelle 3, which comprises the machine technology, not shown, and is arranged at the upper end of a tower 4 rotatable about a vertical axis.
- two one-dimensional acceleration sensors 5 with differing acceleration direction are fixed on the aerodynamic shell 6 of the rotor blade 1 mounted.
- an X-directional acceleration sensor 5 for measuring the bending oscillations running parallel to the surface of the aerodynamic shell 6 and an Z-directional acceleration sensor 5 for measuring the bending oscillations directed perpendicular to the surface are arranged.
- the arrangement of both acceleration sensors 5 can also be spatially separated from each other.
- three may also be mounted, one each for the X, Y and Z directions.
- the acceleration sensors 5 are connected via a cable 10 extending in the interior of the rotor blade 1 with a sensor cable.
- Supply and measurement preprocessing unit 11 which is located in the hub 2.
- the other two rotor blades of the wind turbine are each equipped with further acceleration sensors, which are also connected via cables to the sensor supply and measurement preprocessing unit 11.
- the sensor supply and measurement preprocessing unit 11 is connected by wireless transmission, e.g. B. by means of radio transmission, with a not shown in Fig. 2 evaluation unit 12, which is located in the nacelle 3 or in the foot of the tower 4 and is usually networked via an interface 15 with other computers 21.
- the device further comprises an operating data 18 and a meteorological module 17, which are also not shown in detail and is located in the nacelle 3, the tower 4 or any other suitable for the detection of this data point.
- the vibration excitation required for the measurement is carried out by the operation itself and thereby attacking the rotor blade 1 wind.
- Rotor blade 1 mounted sensors 5 deliver as a result of this current vibration excitation electrical, analog signals as time-related amplitude signals, the cable via the cable 10 to sensor supply and measurement preprocessing 11 in the
- the digitization of the signals takes place, the radio transmission to the evaluation unit 12, which has a central computer unit 13 (FIG. 3) and also the measurement control, a reliable control, independent of the radio transmission between the sensor supply and measurement preprocessing 11 and the central one.
- the central computer unit 13 frequency-dependent acceleration values are obtained by Fourier transformation from the recorded time signals per measuring cycle and per rotor blade 1. By means of suitable methods, the first natural frequency of the n-th rotor blade 1 and thus the acceleration amplitude and therefrom the load at this frequency is determined.
- the numerical values of the loads from each of the quasi-continuously performed measuring cycles of the sensors 5 are assigned to a load class.
- the load classes are defined by load limits derived from experience in evaluating rotor blade conditions and are determined according to the requirements and possibilities for influencing the operation of the wind turbine. So z.
- the classification of stall-controlled wind turbines differ from that for pitch-controllable turbines and include at least one class for normal dynamic load events, one class for increased but still permissible dynamic load events, and one class for dynamic load events indicating the issuance of a warning as well require an alarm.
- Each amplitude represents a load event, which is judged to be more or less critical with its classification into the load classes.
- the events obtained and evaluated from the continuous measurements are summed by class so that over a defined period or a defined number of events the frequency of the events per class for each rotor blade 1 is determined (Fig. 4).
- Pig. 4 each represents a frequency distribution of load events of the three rotor blades 1 of a wind turbine, which were determined over the course of a month.
- the load values were normalized for comparability with other wind turbines and with earlier empirical values and represent relative values.
- the frequency of the events is related to the total event number of 10,000 and is determined by continuous measurement.
- the load class I represents the events with normal load, ie in the case of average weather and operating conditions. Their frequency is expected to be greatest.
- load class II events are recorded that result from an increased but still permissible dynamic load. Their frequency is lower than that of the load class I.
- the load class III events are based on increased dynamic loads, which are considered critical even with a small proportion of the total number of events and can therefore lead to measures to safeguard the operation of the wind turbine. Such measures may be, for example, the targeted search for a possible damage or the planning of a medium-term maintenance or a correction of the pitch angle of a rotor blade 1 or all rotor blades 1 of the system.
- events of stress class IV are already to be assessed critically on their own or, at least, at very low frequency, so that the operation of the facility can be influenced directly.
- B. by switching off or pitch control.
- the observed frequency of the events of these two last-mentioned load classes is significantly lower than that of the adjacent, lower load class.
- the course of the frequency distributions of the three rotor blades 1 is comparable, so that it can be concluded that there is no individual damage to only one blade and also the pitch control of all rotor blades 1 is within permissible tolerances.
- the assignment of a specific frequency of a defined value range of the load to a rotor blade state is based on empirical values that can be stored in the evaluation unit as a reference value. Due to this assignment, when the reference value is reached or exceeded, a decision is taken to influence the mode of operation of the wind turbine or a direct change of the mode of operation.
- a permissible frequency value when a permissible frequency value is exceeded, a signal is transmitted to an operation decision module 19 (FIG. 3) and a corresponding status message is generated.
- the status message in turn is transmitted to an input and output unit 20, which is part of the evaluation unit 12 and z.
- B. comprises a binary output module via which the state avoidances redundant, foreign and intrinsically safe to the plant control system 22 can be passed.
- a visualization of the measured data, the stored and the event-related data is also realized via the input and output unit 20 or via the backup server 21, to which an authorized user can have access via a web browser.
- the amplitude values of the measured time-related acceleration can also be used to evaluate the load on the individual rotor blades and the entire system.
- the amplitude values for their evaluation are stored on the condition of a rotor blade or the entire system with defined load values, but the evaluation is carried out directly by means of the amplitude values. These are determined directly from the time-related acceleration values and with regard to evaluated the frequency of their occurrence in the manner described above to determine the accumulated over a defined period loads and so the state of one or more rotor blades of a wind turbine.
- an amplitude maximum value of the time-dependent acceleration values recorded within a measuring cycle is determined as the amplitude value.
- a meteorological module 17 and operating data module 18 current measured values can be transmitted to the central computer unit 13, such as temperature of the rotor blade 1, the power of the wind turbine or, alternatively, the wind speed and operating time of the respective rotor blade 1. In this way, specific external or system-specific influences can be assigned in the evaluation of a measurement period to defined load values.
- the data obtained from the measuring cycles of the central computer unit 13 are stored in certain fixed periods and events directly and by remote data transmission via a suitable interface 15 in one of the central processing unit 13 independent backup server 21, which in turn is integrated into a data backup.
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- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Physics & Mathematics (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Aviation & Aerospace Engineering (AREA)
- General Physics & Mathematics (AREA)
- Fluid Mechanics (AREA)
- Wind Motors (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102006022884 | 2006-05-15 | ||
PCT/DE2007/000881 WO2007131489A1 (de) | 2006-05-15 | 2007-05-15 | Verfahren zur überwachung der beanspruchung von rotorblättern von windkraftanlagen |
Publications (2)
Publication Number | Publication Date |
---|---|
EP2021890A1 true EP2021890A1 (de) | 2009-02-11 |
EP2021890B1 EP2021890B1 (de) | 2019-10-02 |
Family
ID=38480626
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP07722429.3A Active EP2021890B1 (de) | 2006-05-15 | 2007-05-15 | Verfahren zur überwachung der beanspruchung von rotorblättern von windkraftanlagen |
Country Status (10)
Country | Link |
---|---|
US (1) | US8170810B2 (de) |
EP (1) | EP2021890B1 (de) |
CN (1) | CN101460901B (de) |
AU (1) | AU2007250325A1 (de) |
BR (1) | BRPI0711641A2 (de) |
CA (1) | CA2651925A1 (de) |
DE (1) | DE112007001675A5 (de) |
DK (1) | DK2021890T3 (de) |
RU (1) | RU2008149135A (de) |
WO (1) | WO2007131489A1 (de) |
Cited By (2)
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CN112253405A (zh) * | 2020-11-25 | 2021-01-22 | 南京大学 | 基于das的风力发电机桨叶结构状态监测方法 |
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DE102007030501A1 (de) * | 2007-06-30 | 2009-01-02 | Nordex Energy Gmbh | Verfahren zum Einlaufen einer Triebstrangkomponente einer Windenergieanlage und Windenergieanlage zur Ausführung dieses Verfahrens |
CN101918710B (zh) | 2007-11-07 | 2013-10-16 | 维斯塔斯风力系统集团公司 | 桨距和负载缺陷的诊断 |
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DE202008006322U1 (de) | 2008-05-08 | 2008-07-17 | Aradex Ag | Windkraftanlage |
US8718831B2 (en) * | 2008-05-09 | 2014-05-06 | General Electric Company | Methods and apparatus for sensing parameters of rotating blades |
EP2362093B1 (de) * | 2009-01-22 | 2012-10-17 | Vestas Wind Systems A/S | Steuerung eines Rotors während eines Anhaltverfahrens einer Windturbine |
DE102009009039A1 (de) | 2009-02-16 | 2010-08-19 | Prüftechnik Dieter Busch AG | Windenergieanlage mit Überwachungssensoren |
US8123478B2 (en) | 2010-05-26 | 2012-02-28 | General Electric Company | Systems and methods for monitoring a condition of a rotor blade for a wind turbine |
US9567869B2 (en) * | 2010-06-30 | 2017-02-14 | Vestas Wind Systems A/S | Wind turbine system for detection of blade icing |
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EP2497946A1 (de) * | 2011-03-09 | 2012-09-12 | Siemens Aktiengesellschaft | Verfahren und Vorrichtung zur Erkennung der Fehlausrichtung des Blattanstellwinkels der Rotorblätter einer Windturbine |
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US8511177B1 (en) * | 2011-12-15 | 2013-08-20 | Shaw Shahriar Makaremi | Blade condition monitoring system |
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DE102012108776A1 (de) | 2012-09-18 | 2014-03-20 | Technische Universität München | Verfahren und Vorrichtung zur Überwachung von Betriebszuständen von Rotorblättern |
WO2014124643A1 (en) * | 2013-02-14 | 2014-08-21 | Vestas Wind Systems A/S | Detecting blade structure abnormalities |
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KR20150080845A (ko) * | 2014-01-02 | 2015-07-10 | 두산중공업 주식회사 | 풍력 발전기용 블레이드의 제어장치, 제어방법, 및 이를 이용하는 풍력 발전기 |
DE102016203013A1 (de) | 2016-02-25 | 2017-08-31 | Innogy Se | Verfahren zur Schwingungszustandsüberwachung einer Windkraftanlage |
DK179018B1 (en) | 2016-03-14 | 2017-08-21 | Ventus Eng Gmbh | Method of condition monitoring one or more wind turbines and parts thereof and performing instant alarm when needed |
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CN112855457B (zh) * | 2019-11-12 | 2022-08-12 | 江苏金风科技有限公司 | 失速监测系统、方法及叶片 |
EP3859147A1 (de) * | 2020-02-03 | 2021-08-04 | Ventus Engineering GmbH | Wecküberwachung, weckverwaltung und sensorische anordnungen dafür |
CN111255638B (zh) * | 2020-03-23 | 2021-01-26 | 明阳智慧能源集团股份公司 | 一种风力发电机组的塔筒载荷监测方法 |
EP4008900A1 (de) * | 2020-12-03 | 2022-06-08 | General Electric Renovables España S.L. | Lastsensoren in windturbinen |
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ES2178872T3 (es) | 1998-01-14 | 2003-01-01 | Dancontrol Engineering As | Procedimiento para medir y controlar osilaciones en un motor de viento. |
AU768212B2 (en) * | 1999-11-03 | 2003-12-04 | Vestas Wind Systems A/S | Method of controlling the operation of a wind turbine and wind turbine for use in said method |
DE10065314B4 (de) * | 2000-12-30 | 2007-08-16 | Igus - Innovative Technische Systeme Gmbh | Verfahren und Einrichtung zur Überwachung des Zustandes von Rotorblättern an Windkraftanlagen |
DE10113038C2 (de) * | 2001-03-17 | 2003-04-10 | Aloys Wobben | Turmschwingungsüberwachung |
EP1461530B1 (de) * | 2001-12-08 | 2015-06-24 | Wobben Properties GmbH | Verfahren zum ermitteln der auslenkung eines rotorblatts einer windenergieanlage |
CA2426711C (en) * | 2002-05-02 | 2009-11-17 | General Electric Company | Wind power plant, control arrangement for a wind power plant, and method for operating a wind power plant |
US7692322B2 (en) * | 2004-02-27 | 2010-04-06 | Mitsubishi Heavy Industries, Ltd. | Wind turbine generator, active damping method thereof, and windmill tower |
US7317260B2 (en) * | 2004-05-11 | 2008-01-08 | Clipper Windpower Technology, Inc. | Wind flow estimation and tracking using tower dynamics |
US7086834B2 (en) * | 2004-06-10 | 2006-08-08 | General Electric Company | Methods and apparatus for rotor blade ice detection |
CN1997823B (zh) * | 2004-07-23 | 2011-06-15 | 维斯塔斯风力系统有限公司 | 控制风轮机叶片的倾斜速度的方法及其控制系统 |
DE102005017054B4 (de) * | 2004-07-28 | 2012-01-05 | Igus - Innovative Technische Systeme Gmbh | Verfahren und Vorrichtung zur Überwachung des Zustandes von Rotorblättern an Windkraftanlagen |
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- 2007-05-15 BR BRPI0711641-1A patent/BRPI0711641A2/pt not_active IP Right Cessation
- 2007-05-15 US US12/299,802 patent/US8170810B2/en active Active
- 2007-05-15 CN CN2007800178214A patent/CN101460901B/zh active Active
- 2007-05-15 CA CA002651925A patent/CA2651925A1/en not_active Abandoned
- 2007-05-15 DE DE112007001675T patent/DE112007001675A5/de not_active Withdrawn
- 2007-05-15 WO PCT/DE2007/000881 patent/WO2007131489A1/de active Application Filing
- 2007-05-15 AU AU2007250325A patent/AU2007250325A1/en not_active Abandoned
- 2007-05-15 DK DK07722429.3T patent/DK2021890T3/da active
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102175449A (zh) * | 2011-03-18 | 2011-09-07 | 天津工业大学 | 基于风力机应变能响应的叶片故障诊断方法 |
CN112253405A (zh) * | 2020-11-25 | 2021-01-22 | 南京大学 | 基于das的风力发电机桨叶结构状态监测方法 |
Also Published As
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DK2021890T3 (da) | 2019-12-16 |
US20090319199A1 (en) | 2009-12-24 |
BRPI0711641A2 (pt) | 2012-01-17 |
CA2651925A1 (en) | 2007-11-22 |
WO2007131489A1 (de) | 2007-11-22 |
AU2007250325A1 (en) | 2007-11-22 |
EP2021890B1 (de) | 2019-10-02 |
CN101460901A (zh) | 2009-06-17 |
RU2008149135A (ru) | 2010-06-20 |
US8170810B2 (en) | 2012-05-01 |
DE112007001675A5 (de) | 2009-04-16 |
CN101460901B (zh) | 2011-06-29 |
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